code: def forward(self, x):
      x = self.conv1(x)
      self.conv1_input = x.clone()
      x = self.bn1(x)
      x = self.relu(x)
      x = self.maxpool(x)
  
      x = self.layer1(x)
      x = self.layer2(x)
      x = self.layer3(x)
      x = self.layer4(x)
  
      x = self.avgpool(x)
      x = x.view(x.size(0), -1)
      x = self.fc(x)
  
      return x
  
imports: from __future__ import print_function, division, absolute_import
  import torch.nn
  import math
  import torch.utils.model_zoo
  from torch.legacy import nn
  import torchfile
  from torch.utils.serialization import load_lua
  import torch
  import collections
  from PIL import Image
  import torchvision.transforms
label_desc: Use image node_id 3 for calling the ResNet obj's underlying member method code with example usage: obj.forward(x) and returns: x